摘要
发展新能源是应对环境污染和能源危机的根本性措施,有助于推动“双碳”目标的实现。可再生能源发电固有的间歇性、波动性给电网规划和运行带来严峻挑战。针对高比例新能源电力系统,分析了以最小功率波动为目标的新能源和储能容量最佳配比。立足风光资源的互补性,构建了最小化系统功率波动的风光最优配比模型,并提出了基于线性规划的求解算法。最后建立了面向平滑新能源出力的储能容量配置参数线性规划模型,得到波动性指标关于储能容量的解析表达式,并根据成本确定了最优储能容量。所提方法为政策制定提供了可视化工具以及比单一最优解更加丰富的信息。
The development of renewable energy is a fundamental measure to resolve environmental pollution and energy crisis, and achieve the carbon peaking and carbon neutrality goals. However, the inherent volatility and fluctuation of renewable energy output bring unprecedented challenges to the planning and operation of the power grid. This paper studies the optimal ratio of renewable energy and energy storage, aiming to minimize power fluctuation. According to the complementary nature of wind and solar resources, the mode of optimal ratio of wind and solar power that leads to minimal power fluctuation is established and is further transformed into linear programming. The optimization problem of energy storage capacity aiming to smooth the renewable energy output is formulated as a multi-parameter linear program, where storage charging power and energy capacities are parameters. The power fluctuation index is expressed as an analytical function in storage parameters, which is convex and piecewise linear. On the basis of the fluctuation index function, the optimal storage capacities can be determined according to the costs. The proposed method provides an illustrative tool and more abundant information for policy and decision-making.
作者
魏韡
范越
谢睿
白珈于
梅生伟
WEI Wei;FAN Yue;XIE Rui;BAI Jiayu;MEI Shengwei(State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment(Department of Electrical Engineering,Tsinghua University),Beijing 100084,China;Northwest Branch of State Grid Corporation of China,Xi’an 710048,China)
出处
《电力建设》
CSCD
北大核心
2023年第3期138-147,共10页
Electric Power Construction
基金
国家重点研发计划(2021YFB2400701)
国家电网有限公司科技项目(SGNW0000FGJS2200126)。
关键词
可再生能源
储能
容量配比
参数规划
分式规划
renewable energy
energy storage
capacity ratio
parametric programming
fractional programming
